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Home » Blogs » CD at CA » Reality Check: Bringing Continuous Delivery Dreams to Life

Reality Check: Bringing Continuous Delivery Dreams to Life

Marcel den HartogBy Marcel den Hartog on February 17, 2017 2 Comments

Every developer shares the same dream: to write a piece of code or app that changes everything.

 
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Whether it makes your company do things more efficiently, attracts hordes of new customers, simply makes existing clients happier or maybe even changes the world a little bit, that code is what we strive for. Some of us don’t merely harbor that dream; many of us actually achieve that moment of brilliance. For those who have, it’s remembered as a moment of pure joy.

 

So, where does this magical process begin? First, you talk to your manager and, if you’re lucky, she or he agrees that it is a fantastic idea and starts to sell it internally. Sometimes the idea is so good that you get the go-ahead on the same day and even get a small team to work on it!

 

Then, soon thereafter, reality kicks in.

 

You need data, inevitably from applications running somewhere in the cloud and/or some other data from on-premises data stores. You need to interface with APIs, some well-documented, some not. You need some user experience work done, and the standards your company has adopted don’t really match your vision.

 

You also need to interface with many of the standard services your company has already implemented because, after all, your app doesn’t run in isolation—you work with existing billing systems, a CRM system, a fulfillment system … and all of them run on servers that can be anywhere. Soon you find yourself fighting for test data, systems to test with and applications and APIs to interface with. Before you know it, you’re banging your head against the wall.

 

Fortunately, your teammates are flexible, creative people. And because your internal systems seem to work against you, you go around them. You download a trial version of some testing software; you install a copy of some internal systems on a virtualized test server (if you can find one) and start working with these.

 

Since your app needs to be snazzy and snappy, you download some open-source software to help you test the performance on mobile devices. After three sprints, you’re now ready to move your app to an environment where you can start performing real tests!

 

Most times this is the moment when the hardest reality kicks in. The copies of the systems you tested with were not up to date. Data has changed. APIs have changed. The real system responds three times slower than the copy that sat on the server right next to you. The data in the cloud has changed. The performance testing tool you used is not available in the official testing environment. … The list goes on.

 

This doesn’t even include the difficulties of moving all the components of your new app to different environments. Trust me, this is not a fictional nightmare scenario; it is reality and I see it happen all the time.

 

Now, what if you had the test-data generators necessary to create the data you need and a server that ran virtualized services, mimicking all the (up-to-date) external systems you need including the APIs to talk to them—services that would allow you to say, “What if this application responds three times slower when I request data?” or, “What happens if this system suddenly goes down?” What if, when you’re done building, you could simply migrate the app and all the components that go with it to another (test/QA) system with one click?

 

Everybody wants to support people with good ideas and turn these ideas into working software without the frustration that very often distracts and demotivates people. To do so, you need to create the infrastructure that supports this. Is it difficult? Not really, the tools to automate services, create test data (and test scenarios) and migrate complete applications from A to Z are available.

 

However, just like a great app, this too starts with a dream—the dream of allowing people with great ideas to work on these ideas without the overhead of an infrastructure that allows them to focus on the coding and not on the infrastructural issues; the dream to create a software factory where the creation of the app takes 90 percent of the time and the infrastructural burden only 10 percent, not the other way around.

 

If you’re serious about developing software and want to create an environment where the infrastructure allows people to develop and release software faster instead of working against them, find the tools that support it and jump in, because they exist today.

 

Enacting this change now and maybe the next time someone comes to you with a great idea you can be confident that they will have all the support needed to get there efficiently.

  
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Filed Under: Blogs, CD at CA Tagged With: agile, agile infrastructure, APIs, automation, continuous delivery, continuous testing, developers, development, devops adoption, devops culture, QA, testing

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Continuous delivery is a software engineering discipline that allows organizations to consistently develop and release quality software at a rapid pace. It is achieved by automating the software development lifecycle, enabling tasks such as development, testing and release to occur concurrently and continuously.

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